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PROGRESS IN GEOGRAPHY >

2008 , Vol. 27 >Issue 3: 166 - 172

DOI: https://doi.org/10.11820/dlkxjz.2008.03.023

Original Articles

Estimation of Thermal Iner tia from Remotely Sensed Data: Cur r ent Status and Futur e Per spective

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  • 1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research,, Beijing 100101;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100049;
    3. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081

Received date: 2008-01-01

  Revised date: 2008-04-01

  Online published: 2008-05-25

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Abstract

Thermal inertia is one of the important factors affecting surface temperature change and can be used in several disciplines for such purposes as discrimination of geologic materials, soil moisture determination, identification of crop stress in moisture deficient areas et al. With the advancement of the algorithms to retrieve land surface temperature from thermal infrared data, accurately to estimate thermal inertia from satellite data. This paper reviews the main algorithms and approaches estimate the thermal inertia from thermal satellite data, including method of day/ night temperature difference, method of temperature difference between sunset and sunrise and method using the model inversion. Among these methods, the method of day/night temperature difference is analyzed in more detail. On the basis of the comprehensive analysis and review of the advantages and disadvantages of each method, this paper put forward some research directions in the future to improve the accuracy of thermal inertia estimated from space, including mechanism research, scale proplem and use of multi- temporal and multi- spectral data.

Key words： remote sensing; surface temperature; thermal inertia

Cite this article

ZHANG Xiaoyu, BI Yuyun, LI Zhaoliang . Estimation of Thermal Iner tia from Remotely Sensed Data: Cur r ent Status and Futur e Per spective[J]. PROGRESS IN GEOGRAPHY, 2008 , 27(3) : 166 -172 . DOI: 10.11820/dlkxjz.2008.03.023

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